Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Region based affine motion segmentation using color information
Date
1997-04-24
Author
Eren, Pekin Erhan
TEKALP, AHMET MURAT
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
85
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/69449
DOI
https://doi.org/10.1109/icassp.1997.595424
Collections
Graduate School of Informatics, Conference / Seminar
Suggestions
OpenMETU
Core
Region Based Target Detection Approach for Synthetic Aperture Radar Images and Its Parallel Implementation
Nar, Fatih; Demirkesen, Can; Okman, O. Erman; ÇETİN, MÜJDAT (2012-04-26)
Automatic target detection (ATD) methods for synthetic aperture radar (SAR) imagery are sensitive to image resolution, target size, clutter complexity, and speckle noise level. However, a robust ATD method needs to be less sensitive to the above factors. In this study, a constant false alarm rate (CFAR) based method is proposed which can perform target detection independent of image resolution and target size even in heterogeneous background clutter. The proposed method is computationally efficient since cl...
Region-based parametric motion segmentation using color information
Altunbasak, Y; Eren, Pekin Erhan; Tekalp, AM (1998-01-01)
This paper presents pixel-based and region-based parametric motion segmentation methods for robust motion segmentation with the goal of aligning motion boundaries with those of real objects in a scene. We first describe a two-step iterative procedure for parametric motion segmentation by either motion-vector or motion-compensated intensity matching. We next present a region-based extension of this method, whereby all pixels within a predefined spatial region are assigned the same motion label. These predefi...
REGION-BASED IMAGE SEGMENTATION VIA GRAPH CUTS
Cigla, Cevahir; Alatan, Abdullah Aydın (2008-01-01)
A graph theoretic color image segmentation algorithm is proposed, in which the popular normalized cuts image segmentation method is improved with modifications on its graph structure. The image is represented by a weighted undirected graph, whose nodes correspond to over-segmented regions, instead of pixels, that decreases the complexity of the overall algorithm. In addition, the link weights between the nodes are calculated through the intensity similarities of the neighboring regions. The irregular distri...
Region-based dense depth extraction from multi-view video
Cigla, Cevahir; Zabulis, Xenophon; Alatan, Abdullah Aydın (2007-09-19)
A novel multi-view region-based dense depth map estimation problem is presented, based on a modified plane-sweeping strategy. In this approach, the whole scene is assumed to be region-wise planar. These planar regions are defined by back-projections of the over-segmented homogenous color regions on the images and the plane parameters are determined by angle-sweeping at different depth levels. The position and rotation of the plane patches are estimated robustly by minimizing a segment-based cost function, w...
REGION-BASED MOTION-COMPENSATED FRAME RATE UP-CONVERSION BY HOMOGRAPHY PARAMETER INTERPOLATION
Turetken, Engin; Alatan, Abdullah Aydın (2009-11-10)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
P. E. Eren and A. M. TEKALP, “Region based affine motion segmentation using color information,” 1997, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69449.